2012 IEEE International Conference on Bioinformatics and Biomedicine (2012)
Philadelphia, PA, USA USA
Oct. 4, 2012 to Oct. 7, 2012
Houssam Nassif , University of Wisconsin, Madison, USA
Filipe Cunha , AroundKnowledge, Porto, Portugal
Eliana Sousa , CIDES - Health Information and Decision Sciences, Faculty of Medicine of Universidade do Porto, Porto, Portugal
David Page , Dept. of Biostatistics and Medical Informatics, UW-Madison, USA
Elizabeth Burnside , Department of Radiology, University of Wisconsin, School of Medicine and Public Health, Madison, WI, USA
Ines Dutra , CRACS & INESC-TEC Department of Computer Science, Faculty of Sciences, University of Porto, Porto, Portugal
In this work we build the first BI-RADS parser for Portuguese free texts, modeled after existing approaches to extract BI-RADS features from English medical records. Our concept finder uses a semantic grammar based on the BI-RADS lexicon and on iterative transferred expert knowledge. We compare the performance of our algorithm to manual annotation by a specialist in mammography. Our results show that our parser's performance is comparable to the manual method.
BI-RADS descriptors, feature extraction, breast cancer
H. Nassif, F. Cunha, E. Sousa, D. Page, E. Burnside and I. Dutra, "Extracting BI-RADS features from Portuguese clinical texts," 2012 IEEE International Conference on Bioinformatics and Biomedicine(BIBM), Philadelphia, PA, USA USA, 2012, pp. 1-4.